Trustpilot Reviews Scraper

Extract Trustpilot reviews and company data at scale — review text, star ratings, dates, reviewer details, verification status, company replies and trust scores. Bypasses Trustpilot's 200-review web limit through the site's internal data API, with server-side filters by stars, language, date and verification. No login or API key required.

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What data do you get?

Field	Type	Description	Example
rating	number	Star rating (1–5)	5
title	string	Review title	Excellent service
text	string	Full review text	Fast delivery and great support…
language	string	Review language (ISO 639-1)	en
publishedDate	string	When the review was posted (ISO 8601)	2026-05-10T08:12:00Z
experiencedDate	string	Date of the experience	2026-05-08
isVerified	boolean	Whether the review is verified	true
verificationLevel	string	Verification type	verified
likes	number	Number of likes	12
reviewerName	string	Reviewer display name	John D.
reviewerCountry	string	Reviewer country code	US
reviewerReviewCount	number	Total reviews by this reviewer	7
companyReply	string	Company's reply text (if any)	Thanks for your feedback!
companyReplyDate	string	When the company replied	2026-05-11T10:00:00Z
companyDomain	string	Company domain on Trustpilot	booking.com
companyTrustScore	number	Company TrustScore (with details on)	4.3
companyTotalReviews	number	Total company reviews	1450231
companyCategories	array	Company categories	["Travel Agency"]
reviewUrl	string	Direct link to the review	https://www.trustpilot.com/reviews/…

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How to use

1. Open the actor and click Try for free.
2. Add one or more companies — a domain (booking.com) or a full Trustpilot URL.
3. Set maxReviews and any optional filters (stars, language, date range, verified only).
4. Click Start.
5. Download results from the Dataset tab in JSON, CSV or Excel.

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Use cases

• Brand & reputation monitoring — track what customers say about your company over time and react to negative reviews fast.
• Competitor analysis — benchmark trust scores, ratings and complaint themes against rival brands.
• Sentiment analysis & AI training — feed clean, structured review text into NLP models or LLM pipelines.
• Market research — analyze customer satisfaction trends across industries and countries.
• Fraud & quality detection — spot suspicious review patterns and verification levels at scale.

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Input parameters

{
  "companies": ["booking.com", "https://www.trustpilot.com/review/amazon.com"],
  "maxReviews": 1000,
  "sortBy": "recency",
  "filterStars": ["1", "2"],
  "filterLanguages": ["en"],
  "filterDateRange": "last3months",
  "filterVerifiedOnly": false,
  "filterRepliesOnly": false,
  "includeCompanyDetails": true
}

Parameter	Type	Default	Description
companies	string[]	["booking.com"]	Domains or Trustpilot review URLs to scrape
maxReviews	number	200	Max reviews per company (bypasses the 200 web limit)
sortBy	string	recency	recency or relevancy
filterStars	string[]	—	Keep only these star ratings (1–5)
filterLanguages	string[]	—	Keep only these languages (ISO codes)
filterDateRange	string	all	last30days, last3months, last6months, last12months
filterVerifiedOnly	boolean	false	Only verified reviews
filterRepliesOnly	boolean	false	Only reviews with a company reply
includeCompanyDetails	boolean	true	Enrich with trust score, totals, categories

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Sample output

{
  "reviewId": "6a3f...e21",
  "rating": 5,
  "title": "Great experience",
  "text": "Booking was easy and the stay was perfect. Highly recommend.",
  "language": "en",
  "publishedDate": "2026-05-10T08:12:00.000Z",
  "experiencedDate": "2026-05-08T00:00:00.000Z",
  "isVerified": true,
  "verificationLevel": "verified",
  "likes": 3,
  "reviewerName": "John D.",
  "reviewerCountry": "US",
  "reviewerReviewCount": 7,
  "companyReply": "Thank you for your kind words!",
  "companyReplyDate": "2026-05-11T10:00:00.000Z",
  "companyDomain": "booking.com",
  "companyName": "Booking.com",
  "companyTrustScore": 4.3,
  "companyTotalReviews": 1450231,
  "companyStars": 4,
  "companyCategories": ["Travel Agency"],
  "companyWebsite": "https://www.booking.com",
  "reviewUrl": "https://www.trustpilot.com/reviews/6a3f...e21",
  "scrapedAt": "2026-05-25T18:00:00.000Z"
}

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Performance

Scenario	Reviews	Approx. time
1 company, 200 reviews	200	~30–50 s
1 company, 1,000 reviews	1,000	~1.5–3 min
5 companies, 1,000 each	5,000	~10–15 min

After clearing the anti-bot check once per company, pagination uses Trustpilot's lightweight internal JSON API — fast and low-cost. Use residential proxies for very large multi-company runs.

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Pricing

Pay per result — $0.002 per review. The Apify Free plan includes $5 of free usage to start.

Reviews	Estimated cost
100	$0.20
500	$1.00
1,000	$2.00
10,000	$20.00

No 200-review limit, full filters, company details and reliable Cloudflare-aware extraction included.

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Keywords

trustpilot scraper, trustpilot reviews api, trustpilot review scraper, scrape trustpilot, company reviews scraper, brand monitoring, reputation management data, customer reviews dataset, review sentiment analysis, trustpilot data export, competitor reviews, trustscore scraper

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Legal disclaimer

This actor extracts publicly available data from Trustpilot for lawful purposes such as market research, brand monitoring and competitive analysis. It is not affiliated with, endorsed by, or sponsored by Trustpilot A/S. Users are solely responsible for complying with Trustpilot's Terms of Service and all applicable data protection laws (including GDPR). Do not use scraped personal data in ways that violate privacy regulations.